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torch2ios_reader.c
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// Kurt Jacobs
// RandomDudes
// 2016
#include <stdio.h>
#include <stdlib.h>
#define CONV_LAYER_STRUCTURE_COUNT 8
#define LINEAR_LAYER_STRUCTURE_COUNT 2
#define POOLING_LAYER_STRUCTURE_COUNT 6
typedef struct layer_entry
{
int layertype;
int *structure_buffer;
int datatype_w;
int datatype_b;
union
{
float *weights_buff_f;
int *weights_buff_i;
double *weights_buff_d;
}weight_buffers;
union
{
float *bias_buff_f;
int *bias_buff_i;
double *bias_buff_d;
}bias_buffers;
int weight_buffer_size;
int bias_buffer_size;
} TORCH_LAYER;
const char* layers_and_activations[] = {"","nn.Linear","nn.SpatialConvolution","nn.SpatialMaxPooling","nn.SpatialAveragePooling","nn.Tanh","nn.HardTanh","nn.LogSigmoid","nn.LogSoftMax","nn.Sigmoid","nn.ReLU","nn.Reshape"};
const char* tensor_types[] = {"","torch.FloatTensor","torch.DoubleTensor","torch.IntTensor"};
void read_bin(char filename [], TORCH_LAYER **layers_pp, int *layers_count)
{
FILE *file_reader;
file_reader=fopen(filename,"rb");
if (!file_reader)
{
printf("Unable to open file!");
return;
}
fread(layers_count,sizeof(int),1,file_reader);
if (*layers_count <= 0)
{
return;
}
TORCH_LAYER *layers_array = (TORCH_LAYER *) calloc(*layers_count,sizeof(TORCH_LAYER));
int lcc = *layers_count;
for (int i = 0; i < lcc; i++)
{
int wc = 0;
int bc = 0;
int layertype = 0;
int in_size = 0;
int out_size = 0;
int datatype_w = 0;
int datatype_b = 0;
void *weights = NULL;
void *bias = NULL;
int *structure_buffer;
fread(&layertype,sizeof(int),1,file_reader);
if (layertype == 1)
{
structure_buffer = (int *)calloc(LINEAR_LAYER_STRUCTURE_COUNT,sizeof(int));
fread(structure_buffer,sizeof(int),LINEAR_LAYER_STRUCTURE_COUNT,file_reader);
}
else if (layertype == 2)
{
structure_buffer = (int *)calloc(CONV_LAYER_STRUCTURE_COUNT,sizeof(int));
fread(structure_buffer,sizeof(int),CONV_LAYER_STRUCTURE_COUNT,file_reader);
}
else if (layertype == 3 || layertype == 4)
{
structure_buffer = (int *)calloc(POOLING_LAYER_STRUCTURE_COUNT,sizeof(int));
fread(structure_buffer,sizeof(int),POOLING_LAYER_STRUCTURE_COUNT,file_reader);
}
else
{
structure_buffer = (int *)calloc(LINEAR_LAYER_STRUCTURE_COUNT,sizeof(int));
fread(structure_buffer,sizeof(int),LINEAR_LAYER_STRUCTURE_COUNT,file_reader);
}
if (layertype <= 2)
{
fread(&datatype_w,sizeof(int),1,file_reader);
fread(&wc,sizeof(int),1,file_reader);
if (datatype_w == 1)
{
weights = (float *)calloc(wc,sizeof(float));
fread(weights,sizeof(float),wc,file_reader);
}
else if (datatype_w == 2)
{
weights = (double *)calloc(wc,sizeof(double));
fread(weights,sizeof(double),wc,file_reader);
}
else if (datatype_w == 3)
{
weights = (int *)calloc(wc,sizeof(int));
fread(weights,sizeof(int),wc,file_reader);
}
fread(&datatype_b,sizeof(int),1,file_reader);
fread(&bc,sizeof(int),1,file_reader);
if (datatype_w == 1)
{
bias = (float *)calloc(bc,sizeof(float));
fread(bias,sizeof(float),bc,file_reader);
}
else if (datatype_w == 2)
{
bias = (double *)calloc(bc,sizeof(double));
fread(bias,sizeof(double),bc,file_reader);
}
else if (datatype_w == 3)
{
bias = (int *)calloc(bc,sizeof(int));
fread(bias,sizeof(int),bc,file_reader);
}
}
layers_array[i].layertype = layertype;
layers_array[i].structure_buffer = structure_buffer;
layers_array[i].datatype_w = datatype_w;
layers_array[i].datatype_b = datatype_b;
//floatTensor
if (datatype_w == 1 && datatype_b == 1)
{
layers_array[i].weight_buffers.weights_buff_f = (float*)weights;
layers_array[i].bias_buffers.bias_buff_f = (float*)bias;
}
//doubleTensor
else if (datatype_w == 2 && datatype_b == 2)
{
layers_array[i].weight_buffers.weights_buff_d = (double*)weights;
layers_array[i].bias_buffers.bias_buff_d = (double*)bias;
}
//intTensor
else if (datatype_w == 3 && datatype_b == 3)
{
layers_array[i].weight_buffers.weights_buff_i = (int*)weights;
layers_array[i].bias_buffers.bias_buff_i = (int*)bias;
}
layers_array[i].weight_buffer_size = wc;
layers_array[i].bias_buffer_size = bc;
layers_count++;
}
*layers_pp = layers_array;
fclose(file_reader);
}
int main()
{
TORCH_LAYER ** layers_pp;
int lc = 0;
read_bin("ios_xor.t7ios",layers_pp,&lc);
TORCH_LAYER *layers_p = *layers_pp;
printf("\n");
for (int i = 0; i < lc; i ++)
{
printf("Layer Type: %s\n", layers_and_activations[layers_p[i].layertype]);
if (layers_p[i].datatype_w > 0)
{
printf("DataType W: %s\n", tensor_types[layers_p[i].datatype_w]);
}
if (layers_p[i].datatype_b > 0)
{
printf("DataType B: %s\n", tensor_types[layers_p[i].datatype_b]);
}
if (layers_p[i].weight_buffers.weights_buff_f != NULL || layers_p[i].weight_buffers.weights_buff_i != NULL || layers_p[i].weight_buffers.weights_buff_d != NULL)
{
printf("Weight Buffer Size:%i\n",layers_p[i].weight_buffer_size);
if (layers_p[i].datatype_w == 1)
{
printf("First Value In Weight Buffer:%f\n",layers_p[i].weight_buffers.weights_buff_f[0]);
}
else if (layers_p[i].datatype_w == 2)
{
printf("First Value In Weight Buffer:%lf\n",layers_p[i].weight_buffers.weights_buff_d[0]);
}
else if (layers_p[i].datatype_w == 3)
{
printf("First Value In Weight Buffer:%i\n",layers_p[i].weight_buffers.weights_buff_i[0]);
}
}
if (layers_p[i].bias_buffers.bias_buff_f != NULL || layers_p[i].bias_buffers.bias_buff_i != NULL || layers_p[i].bias_buffers.bias_buff_d != NULL)
{
printf("Bias Buffer Size:%i\n",layers_p[i].bias_buffer_size);
if (layers_p[i].datatype_b == 1)
{
printf("First Value In Bias Buffer:%f\n",layers_p[i].bias_buffers.bias_buff_f[0]);
}
else if (layers_p[i].datatype_b == 2)
{
printf("First Value In Bias Buffer:%lf\n",layers_p[i].bias_buffers.bias_buff_d[0]);
}
else if (layers_p[i].datatype_b == 3)
{
printf("First Value In Bias Buffer:%i\n",layers_p[i].bias_buffers.bias_buff_i[0]);
}
}
printf("First Value In Structure Buffer:%i\n",layers_p[i].structure_buffer[0]);
printf("\n");
}
free (layers_p);
return 0;
}